squeezeNet = squeezenet; ClassNames = squeezeNet.Layers(end).Classes; Convert the image to a tensor in order to classify the image with a PyTorch model. X = py.numpy.asarray(imgForTorch); X_torch = py.torch.from_numpy(X).float(); ...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - pytorch/benchmarks/compare-fastrnn-results.py at 00b02101390b718aa0e626e808a1a944b7223c8c · pytorch/pytorch
AMD offers a software development platform called ROCm. ROCm, an open platform, enables developers to write and compile code for multiple environments, including Nvidia GPUs. It supportscommon machine learning frameworkssuch as the open source TensorFlow and PyTorch. ROCm also provides pathways for p...